Has collaboratedon a researchpaper withsomeone from adifferent continentCan namethreedifferent LLMarchitecturesIs familiarwith theconcept ofpromptengineeringIs optimisticabout thefuture ofhuman-AIcollaborationHas presenteda paper onnaturallanguagegenerationCanrecommenda good AI ortech relatedpodcastIs excitedabout thepotential ofLLMs ineducationHas traveledinternationallyto attend thisconferenceHas used anLLM tosummarizeresearchpapersHaspublishedresearch onmultilingualLLMsKnows atleast threeprogramminglanguagesHassuccessfullydebugged acomplexLLMIs currentlyworking on aprojectinvolving cross-lingual transferlearningHasparticipated ina hackathonfocused on AIor LLMsCan explain thedifferencebetween causaland maskedlanguagemodelsHas used agenerative AImodel tocreate art ormusicHas used agenerative AImodel for anon-academicpurposeHasattended anICMLconferencebeforeHascontributedto an open-source AIprojectHas learneda newlanguage inthe last yearHas experiencewith low-resourcelanguages inNLPHas apreferred AIresearch toolthey canrecommendHasexperiencewith fine-tuning a pre-trained LLMIs interestedin the ethicalimplicationsof generativeAIHas collaboratedon a researchpaper withsomeone from adifferent continentCan namethreedifferent LLMarchitecturesIs familiarwith theconcept ofpromptengineeringIs optimisticabout thefuture ofhuman-AIcollaborationHas presenteda paper onnaturallanguagegenerationCanrecommenda good AI ortech relatedpodcastIs excitedabout thepotential ofLLMs ineducationHas traveledinternationallyto attend thisconferenceHas used anLLM tosummarizeresearchpapersHaspublishedresearch onmultilingualLLMsKnows atleast threeprogramminglanguagesHassuccessfullydebugged acomplexLLMIs currentlyworking on aprojectinvolving cross-lingual transferlearningHasparticipated ina hackathonfocused on AIor LLMsCan explain thedifferencebetween causaland maskedlanguagemodelsHas used agenerative AImodel tocreate art ormusicHas used agenerative AImodel for anon-academicpurposeHasattended anICMLconferencebeforeHascontributedto an open-source AIprojectHas learneda newlanguage inthe last yearHas experiencewith low-resourcelanguages inNLPHas apreferred AIresearch toolthey canrecommendHasexperiencewith fine-tuning a pre-trained LLMIs interestedin the ethicalimplicationsof generativeAI

Human BINGO: Navigating Generative AI and LLMs Across Languages - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Has collaborated on a research paper with someone from a different continent
  2. Can name three different LLM architectures
  3. Is familiar with the concept of prompt engineering
  4. Is optimistic about the future of human-AI collaboration
  5. Has presented a paper on natural language generation
  6. Can recommend a good AI or tech related podcast
  7. Is excited about the potential of LLMs in education
  8. Has traveled internationally to attend this conference
  9. Has used an LLM to summarize research papers
  10. Has published research on multilingual LLMs
  11. Knows at least three programming languages
  12. Has successfully debugged a complex LLM
  13. Is currently working on a project involving cross-lingual transfer learning
  14. Has participated in a hackathon focused on AI or LLMs
  15. Can explain the difference between causal and masked language models
  16. Has used a generative AI model to create art or music
  17. Has used a generative AI model for a non-academic purpose
  18. Has attended an ICML conference before
  19. Has contributed to an open-source AI project
  20. Has learned a new language in the last year
  21. Has experience with low-resource languages in NLP
  22. Has a preferred AI research tool they can recommend
  23. Has experience with fine-tuning a pre-trained LLM
  24. Is interested in the ethical implications of generative AI